Lead Platform Support Engineer

As a Lead Platform Support Engineer, you will be responsible for overseeing the day-to-day operations of our platform, ensuring system performance, availability, and reliability. You will also lead and mentor a team of platform support engineers, acting as a technical leader and key point of contact for resolving complex issues. You will collaborate with Development resources, DevOps Engineers, and members of our Product Teams to ensure smooth platform operation and support the deployment of new features.

Our platform runs across containerized and virtual-machine estates, deployed through GitOps and pipeline-driven automation. We expect our engineers to work fluently with modern AI-assisted engineering tooling as part of their daily practice - using it to accelerate troubleshooting, automation, and documentation without compromising rigor or change discipline.

While this is primarily a support leadership role, a limited portion of your time will be spent on hands-on DevOps engineering work in partnership with our Product Development and DevOps teams - building and refining the deployment automation you also operate., Incident Management: Act as the escalation point for high-priority incidents, troubleshoot complex platform issues, and manage incident resolution to minimize downtime.

Platform Monitoring & Observability: Monitor platform performance and proactively identify and resolve potential issues to ensure optimal uptime and reliability. Extend and maintain observability coverage - metrics, logs, distributed traces, and service-level indicators - across the estate.

Root Cause Analysis: Conduct thorough root cause analysis for recurring issues, implementing permanent fixes, and improving platform stability.

Collaboration: Work closely with product, engineering, and DevOps teams to identify, diagnose, and resolve platform-related issues in a timely and efficient manner.

Automation & Efficiency: Drive automation initiatives to improve operational efficiency, streamline support processes, and reduce manual interventions.

CI/CD: Maintain classic and YAML-based Azure DevOps Release Pipelines and GitHub Actions workflows,

ensuring robust CI/CD processes are in place.

GitOps & Continuous Delivery: Operate and maintain Argo CD-based GitOps delivery, including

application and ApplicationSet definitions, sync policies, drift detection and remediation, and promotion

across environments with Git as the declarative source of truth.

Container Platform Operations: Support and troubleshoot containerized workloads on Kubernetes -

workload scheduling, resource limits, autoscaling, ingress and service networking, persistent storage,

secrets, and cluster upgrade and patching cycles.

IAC Review: Manage reviews and deployments of Terraform (custom provider environment) and SaltStack

states to ensure consistency and efficiency in infrastructure management.

AI-Assisted Engineering: Use AI coding and operations assistants (for example Claude Code, GitHub

Copilot, OpenAI Codex, or equivalent) in day-to-day work to accelerate scripting, automation, log and

incident analysis, and documentation. Review and validate all AI-generated output before it reaches a

pipeline or production system and help establish team practices and guardrails for responsible use.

Change Control Management: Oversee and enforce the Change Control process, ensuring all platform

updates, infrastructure changes, and deployments follow established approval workflows, risk

assessments, and rollback strategies to maintain system stability and compliance.

Documentation & Reporting: Maintain detailed documentation of platform issues, troubleshooting steps,

and resolutions. Provide regular reports on platform health, incident trends, and support KPIs to senior

management.

Production Deployment: Co-ordinate the planning and execution of application/infrastructure releases

and configuration changes.

DevOps & Release Engineering: Spend a limited portion of your time on hands-on DevOps engineering

alongside the Product Development and DevOps teams: defining and implementing automated system

installation and configuration procedures across virtualized and private-cloud infrastructure, enhancing

existing build and release pipelines, managing capacity and scalability, and evolving deployment

architecture to follow emerging best practices.

Continuous Improvement: Stay up to date with emerging technologies, tools, and best practices to

continuously improve platform support processes and capabilities.

Security: Oversee security and compliance adherence in application deployment and infrastructure

10+ years of experience in platform support, system administration, or a related field, with at least 2 years

in a leadership or team lead role.

Experience with SOC-2 compliance and secure deployment practices.

Deep knowledge of Windows/Linux/Unix systems, and networking.

Hands-on production experience with containers and Kubernetes - container image build and lifecycle

(Docker/OCI), Kubernetes workload and manifest troubleshooting, Helm or Kustomize packaging, and

diagnosing pod, networking, storage, and resource-contention failures.

Practical experience with GitOps delivery using Argo CD (or an equivalent such as Flux), including

declarative application definitions, sync and health status triage, and configuration drift remediation.

Experience with automation tools and scripting (PowerShell, Bash, SaltStack, Terraform).

Knowledge of CI/CD pipelines and deployment processes (Azure DevOps, GitHub Actions, Argo CD).

Experience with build automation, release and package management, and source control workflows (Azure DevOps/ALM, Git branching and merge strategies), with a working understanding of SDLC processes.

Ability to define and implement automated installation and configuration of multi-tier application stacks across virtualized and private-cloud infrastructure, simplifying and streamlining application deployment.

Demonstrated use of AI-assisted engineering tools - Claude Code, GitHub Copilot, OpenAI Codex, or equivalent - as part of normal daily work, with sound judgment about verifying output and where the tooling should and should not be trusted.

Strong troubleshooting skills with experience in debugging complex platform issues.

Thorough understanding of the processes and procedures required to support a 24x7, “follow-the-sun” support model.

Familiarity with monitoring and observability tooling (Prometheus, Grafana, Azure Monitor, Azure Application Insights) and a working understanding of OpenTelemetry concepts - traces, spans, metrics, and instrumentation - for diagnosing distributed systems.

Strong communication skills with the ability to convey technical issues to non-technical stakeholders.

Excellent leadership, problem-solving, and conflict resolution abilities.

Willingness to work outside of normal business hours, including weekends, as part of a support role.

Preferred Skills

Bachelor’s degree in computer science, Engineering, or a related field.

Strong background in database deployments and monitoring (MS SQL Server, schema migrations, backups, performance tuning).

Strong background in .NET application support (.NET 6 and 8, ASP.NET).

Experience troubleshooting NATS/JetStream messaging.

Strong experience with IAC tools (Terraform).

Experience with Azure Kubernetes Service (AKS) or a comparable managed Kubernetes platform, including service mesh or ingress controller operations.

Experience instrumenting applications with OpenTelemetry SDKs or collectors.

Prior experience in a dedicated DevOps, release engineering, or platform automation role.

PMP Certification.

Experience in the financial services industry.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world’s largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology., The SS&C Private Markets Technology organization supports the world’s largest Fund Administration Business with nearly $1T in Assets Under Administration (AUA). We’ve recently embarked on multiple multi-year initiatives to enhance our existing processing capabilities and develop entirely new next-generation platforms that automate, scale, and enhance our industry-leading business to drive growth, service efficiency, and client engagement through technology.